Implementing Zero Trust Architecture to Enhance Security and Resilience in the Pharmaceutical Supply Chain

• URL: http://arxiv.org/abs/2508.15776v1
• Date: Thu, 31 Jul 2025 16:34:39 GMT
• Title: Implementing Zero Trust Architecture to Enhance Security and Resilience in the Pharmaceutical Supply Chain
• Abstract summary: This paper examines the transformative potential of zero trust architecture for enhancing security and resilience within this critical ecosystem.<n>Benefits include heightened security, data protection, and resilience.<n>By embracing zero trust, the pharmaceutical industry fortifies its supply chain against constantly changing cyber threats.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: The pharmaceutical supply chain faces escalating cybersecurity challenges threatening patient safety and operational continuity. This paper examines the transformative potential of zero trust architecture for enhancing security and resilience within this critical ecosystem. We explore the challenges posed by data breaches, counterfeiting, and disruptions and introduce the principles of continuous verification, least-privilege access, and data-centric security inherent in zero trust. Real-world case studies illustrate successful implementations. Benefits include heightened security, data protection, and adaptable resilience. As recognized by researchers and industrialists, a reliable drug tracing system is crucial for ensuring drug safety throughout the pharmaceutical production process. One of the most pivotal domains within the pharmaceutical industry and its associated supply chains where zero trust can be effectively implemented is in the management of narcotics, high-health-risk drugs, and abusable substances. By embracing zero trust, the pharmaceutical industry fortifies its supply chain against constantly changing cyber threats, ensuring the trustworthiness of critical medical operations.

Related papers

• SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents [87.26967184869198]
  SeClaw is a framework that combines specification-driven security task synthesis with execution-based security evaluation for Autonomous agents.<n> benchmark covers risks arising from resources, user tasks, environments, and intrinsic agent behaviors.
  arXiv  Detail & Related papers  (2026-06-01T14:23:42Z)
• Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security [57.35851886874902]
  Agentic AI systems execute complex tasks autonomously, but their multi-step trajectories introduce new failure modes that challenge trustworthiness.<n>This survey provides a focused examination of trustworthy agentic AI through two core dimensions that are critical for high-risk deployments.<n>For each dimension, we clarify key concepts, identify where risks emerge along the agent workflow, and summarize stage-targeted mitigation strategies.
  arXiv  Detail & Related papers  (2026-05-17T10:26:37Z)
• INFA-Guard: Mitigating Malicious Propagation via Infection-Aware Safeguarding in LLM-Based Multi-Agent Systems [70.37731999972785]
  In this paper, we propose Infection-Aware Guard, INFA-Guard, a novel defense framework that explicitly identifies and addresses infected agents as a distinct threat category.<n>During remediation, INFA-Guard replaces attackers and rehabilitates infected ones, avoiding malicious propagation while preserving topological integrity.
  arXiv  Detail & Related papers  (2026-01-21T05:27:08Z)
• ORCA -- An Automated Threat Analysis Pipeline for O-RAN Continuous Development [57.61878484176942]
  Open-Radio Access Network (O-RAN) integrates numerous software components in a cloud-like deployment, opening the radio access network to previously unconsidered security threats.<n>Current vulnerability assessment practices often rely on manual, labor-intensive, and subjective investigations, leading to inconsistencies in the threat analysis.<n>We propose an automated pipeline that leverages Natural Language Processing (NLP) to minimize human intervention and associated biases.
  arXiv  Detail & Related papers  (2026-01-20T07:31:59Z)
• Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies [57.521647436515785]
  We define frontier AI auditing as rigorous third-party verification of frontier AI developers' safety and security claims.<n>We introduce AI Assurance Levels (AAL-1 to AAL-4), ranging from time-bounded system audits to continuous, deception-resilient verification.
  arXiv  Detail & Related papers  (2026-01-16T18:44:09Z)
• Blockchain-Integrated Privacy-Preserving Medical Insurance Claim Processing Using Homomorphic Encryption [0.0]
  This study focuses on enabling the management of insurance claims in a transparent, privacy-protecting manner.<n>The proposed system adds blockchain technology to provide an unchangeable, decentralized, and auditable claim transactions ledger.<n>To protect critical patient information, the framework employs homomorphic encryption a modern form of cryptography.
  arXiv  Detail & Related papers  (2025-11-11T04:22:36Z)
• Privacy-Preserving Healthcare Data in IoT: A Synergistic Approach with Deep Learning and Blockchain [0.5097809301149341]
  The integration of Internet of Things (IoT) devices in healthcare has revolutionized patient care by enabling real-time monitoring, personalized treatments, and efficient data management.<n>Traditional security measures are often insufficient to address the unique challenges posed by IoT environments.<n>We propose a comprehensive three-phase security framework designed to enhance the security and reliability of IoT-enabled healthcare systems.
  arXiv  Detail & Related papers  (2025-10-21T12:21:49Z)
• Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation [70.62656296780074]
  We propose AIDSAFE: Agentic Iterative Deliberation for Safety Reasoning, a novel data generation recipe.<n>A data refiner stage in AIDSAFE ensures high-quality outputs by eliminating repetitive, redundant, and deceptive thoughts.<n>Our evaluations demonstrate that AIDSAFE-generated CoTs achieve superior policy adherence and reasoning quality.
  arXiv  Detail & Related papers  (2025-05-27T21:34:40Z)
• ACRIC: Securing Legacy Communication Networks via Authenticated Cyclic Redundancy Integrity Check [98.34702864029796]
  Recent security incidents in safety-critical industries exposed how the lack of proper message authentication enables attackers to inject malicious commands or alter system behavior.<n>These shortcomings have prompted new regulations that emphasize the pressing need to strengthen cybersecurity.<n>We introduce ACRIC, a message authentication solution to secure legacy industrial communications.
  arXiv  Detail & Related papers  (2024-11-21T18:26:05Z)
• Blockchain-Enhanced Framework for Secure Third-Party Vendor Risk Management and Vigilant Security Controls [0.6990493129893112]
  This paper proposes a comprehensive secure framework for managing third-party vendor risk. It integrates blockchain technology to ensure transparency, traceability, and immutability in vendor assessments and interactions.
  arXiv  Detail & Related papers  (2024-11-20T16:42:14Z)
• SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior [56.10557932893919]
  We present SafetyAnalyst, a novel AI safety moderation framework.<n>Given an AI behavior, SafetyAnalyst uses chain-of-thought reasoning to analyze its potential consequences.<n>It aggregates effects into a harmfulness score using 28 fully interpretable weight parameters.
  arXiv  Detail & Related papers  (2024-10-22T03:38:37Z)
• SPOQchain: Platform for Secure, Scalable, and Privacy-Preserving Supply Chain Tracing and Counterfeit Protection [46.68279506084277]
  This work proposes SPOQchain, a novel blockchain-based platform that provides comprehensive traceability and originality verification. It provides an analysis of privacy and security aspects, demonstrating the need and qualification of SPOQchain for the future of supply chain tracing.
  arXiv  Detail & Related papers  (2024-08-30T07:15:43Z)
• Enhancing Software Supply Chain Resilience: Strategy For Mitigating Software Supply Chain Security Risks And Ensuring Security Continuity In Development Lifecycle [0.0]
  This article delves into the strategic approaches and preventive measures necessary to safeguard the software supply chain against evolving threats. It aims to foster an understanding of the challenges and vulnerabilities inherent in software supply chain resilience. The article contributes to the ongoing effort to strengthen the security posture of software supply chains.
  arXiv  Detail & Related papers  (2024-07-08T18:10:47Z)
• Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model [73.8765529028288]
  We introduce a novel safety alignment challenge called Safe Inputs but Unsafe Output (SIUO) to evaluate cross-modality safety alignment.<n>To empirically investigate this problem, we developed the SIUO, a cross-modality benchmark encompassing 9 critical safety domains, such as self-harm, illegal activities, and privacy violations.<n>Our findings reveal substantial safety vulnerabilities in both closed- and open-source LVLMs, underscoring the inadequacy of current models to reliably interpret and respond to complex, real-world scenarios.
  arXiv  Detail & Related papers  (2024-06-21T16:14:15Z)
• A Scalable Multi-Layered Blockchain Architecture for Enhanced EHR Sharing and Drug Supply Chain Management [3.149883354098941]
  This paper presents a scalable, multi-layered blockchain architecture for secure Electronic Health Record sharing and drug supply chain management.<n>The proposed framework introduces five distinct layers that enhance system performance, security, and patient-centric access control.<n>Our solution ensures data integrity, privacy, and interoperability, making it compatible with existing healthcare systems.
  arXiv  Detail & Related papers  (2024-02-27T09:20:16Z)
• Zero Trust: Applications, Challenges, and Opportunities [0.0]
  This survey comprehensively explores the theoretical foundations, practical implementations, applications, challenges, and future trends of Zero Trust. We highlight the relevance of Zero Trust in securing cloud environments, facilitating remote work, and protecting the Internet of Things (IoT) ecosystem. Integrating Zero Trust with emerging technologies like AI and machine learning augments its efficacy, promising a dynamic and responsive security landscape.
  arXiv  Detail & Related papers  (2023-09-07T09:23:13Z)
• PharmaChain: A Blockchain to Ensure Counterfeit Free Pharmaceutical Supply Chain [0.38233569758620045]
  Access to essential medication is a primary right of every individual in all developed, developing and underdeveloped countries. This article proposes a novel Distributed Ledger Technology (DLT) based transparent supply chain architecture.
  arXiv  Detail & Related papers  (2022-02-05T16:20:11Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.